• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS LME 3004 STATISTICS COMPULSORY 2 0 0 3

Offered By

Mathematics Teacher Education

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

DOCTOR HANDAN BOYACIOĞLU EMIROĞLU

Offered to

Mathematics Teacher Education

Course Objective

Learn about statistical concepts and informed about its application fields.

Learning Outcomes of the Course Unit

1   Can have information concerning the statistical concepts, 2   Can apply the concepts related to statistics, 3   Can apply statistical estimation techniques to solve problems (statistical hypothesis testing, confidence interval estimation) 4   Can apply concepts and information acquired in real-life problems and evaluate the results 5   Can explain the knowledge acquired and conclusions by correct use of language in a discipline.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Sample and basic concepts 2 Regulation and analysis of data 3 Descriptive Statistics 4 Descriptive Statistics 5 Sampling distribution and estimation 6 The concept of confidence interval 7 Range estimation for the difference between the two population avarages 8 Course Overview, Evaluation, Midterm Exam 9 Range estimation for the ratio of two population variances 10 Range estimation for the Binomial parameter p 11 Hypothesis tests related to mass average 12 Hypothesis tests related to mass variance 13 Significance tests base on Chi-Square 14 Regression and correlation analysis 15 Final Exam

Recomended or Required Reading

Köklü, N; Büyüköztürk, Ş.; Çokluk, Ö. (2023). Sosyal Bilimler Için Istatisik. Ankara: Pegem Akademi Akdeniz, F.(2004). Olasılık ve Istatistik. Adana: Nobel Kitabevi. Çakır, F. (2000). Sosyal Bilimlerde Istatistik. Istanbul: Alfa Basım Dağıtım Ltd.Şt. Gürsakal, N. (2001). Bilgisayar Uygulamalı Matematik. Istanbul: Alfa Basım Dağıtım Ltd.Şt. Tekin, V.N. (2009). SPSS Uygulamalı Istatistik Teknikleri. Ankara: Seçkin Yayıncılık

Planned Learning Activities and Teaching Methods

Lecture, Question-Answer, Discussion, Problem Solving

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 VZ Midterm 2 FN Semester final exam 3 BNS BNS Student examVZ * 0.40 + Student examFN * 0.60 4 BUT Make-up note 5 BBN End of make-up grade Student examVZ * 0.40 + Student examBUT * 0.60

Further Notes About Assessment Methods

Discussions, student reflections

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

handan.boyaci@deu.edu.tr Cahit Arf Building-Room Number 225

Office Hours

Friday 13.55-14.40

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 2 26 Preparations before/after weekly lectures 13 2 26 Preparation for midterm exam 1 7 7 Preparation for final exam 1 13 13 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 76

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 PO.15 PO.16 PO.17 PO.18 LO.1 5 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 LO.2 5 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 LO.3 4 4 4 1 1 1 1 1 1 2 1 4 1 1 1 1 1 1 LO.4 4 4 4 1 4 1 1 1 1 2 1 4 4 3 1 3 1 1 LO.5 1 4 1 1 1 1 1 1 1 2 1 4 4 3 1 1 1 1